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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 12545
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BLIC
    -0.74
    Icon
    -0.72
    Done
    -0.72
    Minor
    -0.71
    Lago
    -0.70
    iatus
    -0.70
    Labor
    -0.70
    Die
    -0.70
    legates
    -0.69
    slave
    -0.68
    POSITIVE LOGITS
    utterstock
    0.72
    yton
    0.68
    untled
    0.67
     wom
    0.66
    rea
    0.65
    zers
    0.65
    aceae
    0.64
    enne
    0.64
     Hills
    0.64
     Pon
    0.64
    Activations Density 0.000%

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